{"id":"W2561662461","doi":"10.1212/wnl.86.16_supplement.p5.282","title":"TERI-DYNAMIC: Exploring the Impact of Teriflunomide on Immune Cell Population Size, Receptor Repertoire, and Function in Patients With RRMS (P5.282)","year":2016,"lang":"en","type":"article","venue":"Neurology","topic":"Reproductive System and Pregnancy","field":"Immunology and Microbiology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Teriflunomide; Immune system; Population; Receptor; Medicine; Neuroscience; Immunology; Biology; Internal medicine; Multiple sclerosis; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001596354,0.0001496608,0.0002519062,0.00008317817,0.00006595411,0.000003717749,0.00009081823,0.0001151236,0.00008086856],"category_scores_gemma":[0.0000688546,0.0000723639,0.00004660892,0.00008234764,0.0001189787,0.0001263796,0.0000407001,0.000117947,0.00002813311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002390004,"about_ca_system_score_gemma":0.00001190808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003589678,"about_ca_topic_score_gemma":0.00002238065,"domain_scores_codex":[0.9987426,0.000378626,0.0002795849,0.000359168,0.00002687939,0.0002131865],"domain_scores_gemma":[0.9991958,0.0001940257,0.0001851831,0.0003731479,0.00004164023,0.00001018025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003557421,0.00009507039,0.7497138,0.000009967841,0.00003315455,6.507418e-7,0.0001386389,0.00001164201,0.2338332,0.00001784503,0.00002178836,0.01256678],"study_design_scores_gemma":[0.001834076,0.003872836,0.9889895,0.00004032169,0.000009323045,0.000006725223,0.000005521418,3.089143e-7,0.004920164,0.00004995017,0.0001875853,0.00008369979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983347,0.0003158996,0.000009294625,0.0001908981,0.0006045292,0.0003532213,0.00001488289,0.00001932301,0.0001572276],"genre_scores_gemma":[0.9996209,0.00003701303,0.000003827797,0.00003047872,0.00001694244,0.00004147876,0.00001834365,0.00001703,0.0002139515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2392756,"threshold_uncertainty_score":0.2950914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007953675982543224,"score_gpt":0.1985754318047954,"score_spread":0.1906217558222522,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}